Data in Brief (Aug 2024)

Data set on soil physicochemical parameters, biomass accumulation and carbon credit generation in different management systems in Rio Verde, GO, Brazil

  • André Thomazini,
  • Leandro Rodrigues da Silva Souza,
  • Fernando Rodrigues Cabral Filho,
  • Alan Carlos da Costa,
  • Marconi Batista Teixeira,
  • Adinan Alves da Silva,
  • Silvia Ferreira Marques Salustiano,
  • Daiane Alves da Silva,
  • Willian Marques Pires,
  • Bruno de Oliveira Costa Couto,
  • Uender Carlos Barbosa,
  • Luciana Minervina de Freitas Moura,
  • Angel Domínguez Chovert,
  • Heyde Francielle do Carmo Franca,
  • Marcos Rafael Nanni

Journal volume & issue
Vol. 55
p. 110682

Abstract

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Soil organic carbon is critical to reducing anthropogenic CO2 emissions, highlighting the importance of carbon sequestration on agricultural lands. No-till agricultural practices have been shown to be effective in improving soil quality and sequestering carbon, thereby supporting global efforts to mitigate climate change. Based on the edaphoclimatic conditions of the region, five reference areas were selected, with different characteristics in terms of conditions (A1, A2, A3, A4, and A5) in 5 different farms in the municipality of Rio Verde, GO, Brazil. Soil and biomass samples left by the crop after harvest were collected. These areas represent 3 priority management systems in the Cerrado region of central Brazil, namely: no-till with soybean and maize in sequence in a rainfed system; no-till with soybean and maize in sequence in a central pivot irrigation system; first cut sugar cane; second cut sugar cane.In October 2022, 15 points per area were sampled for soil carbon stock estimation and for chemical and physical characterization purposes along linear transects. Transect sampling approach is widely used in soil attributes studies for comparison and data collection. Biomass samples were used to estimate soil biomass accumulation and carbon stock indices. The physic-chemical parameters of the soil in each area were determined through a complete analysis of the 0–20 cm profile. By presenting a new dataset of soil organic carbon stocks and carbon credits from several long-term no-till areas in central Brazil, this article contributes to the knowledge of the potential of conservation management systems for carbon trading, providing insights into their current contributions and future modelling.

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